VS265: Reading Fall2010 - Revision history

Mudigonda: Updated the dates back to what they were for Fall 2010

2012-08-28T03:03:20Z

Updated the dates back to what they were for Fall 2010

← Older revision		Revision as of 02:55, 28 August 2012
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	==== 27 Aug ====		==== 26 Aug ====
	* Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/vs265/DreyfusDreyfus.pdf ''Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint'']. Daedalus, Winter 1988.		* Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/vs265/DreyfusDreyfus.pdf ''Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint'']. Daedalus, Winter 1988.
	* Bell, A.J. ''Levels and loops: the future of artificial intelligence and neuroscience''. Phil Trans: Bio Sci. '''354''':2013--2020 (1999) [http://dx.doi.org/10.1098/rstb.1999.0540 here] or [http://www.cnl.salk.edu/~tony/ptrsl.pdf here]		* Bell, A.J. ''Levels and loops: the future of artificial intelligence and neuroscience''. Phil Trans: Bio Sci. '''354''':2013--2020 (1999) [http://dx.doi.org/10.1098/rstb.1999.0540 here] or [http://www.cnl.salk.edu/~tony/ptrsl.pdf here]
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	* Land, MF and Fernald, RD. [http://redwood.berkeley.edu/vs265/landfernald92.pdf The Evolution of Eyes], Ann Revs Neuro, 1992.		* Land, MF and Fernald, RD. [http://redwood.berkeley.edu/vs265/landfernald92.pdf The Evolution of Eyes], Ann Revs Neuro, 1992.

	==== 29 Aug ====		==== 31 Aug ====
	* Mead, C. [http://redwood.berkeley.edu/vs265/Mead.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989.		* Mead, C. [http://redwood.berkeley.edu/vs265/Mead.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989.
	* [http://redwood.berkeley.edu/vs265/lti-conv/lti-convolution.html Linear time-invariant systems and convolution]		* [http://redwood.berkeley.edu/vs265/lti-conv/lti-convolution.html Linear time-invariant systems and convolution]

Mudigonda: moved VS265: Reading to VS265: Reading Fall2010

2012-08-28T02:52:38Z

moved VS265: Reading to VS265: Reading Fall2010

← Older revision	Revision as of 02:44, 28 August 2012
(No difference)

Bruno: /* 31 Aug */

2012-08-27T04:54:35Z

31 Aug

← Older revision		Revision as of 04:46, 27 August 2012
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	* Land, MF and Fernald, RD. [http://redwood.berkeley.edu/vs265/landfernald92.pdf The Evolution of Eyes], Ann Revs Neuro, 1992.		* Land, MF and Fernald, RD. [http://redwood.berkeley.edu/vs265/landfernald92.pdf The Evolution of Eyes], Ann Revs Neuro, 1992.

	==== 31 Aug ====		==== 29 Aug ====
	* Mead, C. [http://redwood.berkeley.edu/vs265/Mead.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989.		* Mead, C. [http://redwood.berkeley.edu/vs265/Mead.pdf Chapter 1: Introduction] and [http://redwood.berkeley.edu/vs265/Neurons.pdf Chapter 4: Neurons] from ''Analog VLSI and Neural Systems'', Addison-Wesley, 1989.
	* [http://redwood.berkeley.edu/vs265/lti-conv/lti-convolution.html Linear time-invariant systems and convolution]		* [http://redwood.berkeley.edu/vs265/lti-conv/lti-convolution.html Linear time-invariant systems and convolution]

Bruno: /* 26 Aug */

2012-08-27T04:54:03Z

26 Aug

← Older revision		Revision as of 04:46, 27 August 2012
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	==== 26 Aug ====		==== 27 Aug ====
	* Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/vs265/DreyfusDreyfus.pdf ''Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint'']. Daedalus, Winter 1988.		* Dreyfus, H.L. and Dreyfus, S.E. [http://redwood.berkeley.edu/vs265/DreyfusDreyfus.pdf ''Making a Mind vs. Modeling the Brain: Artificial Intelligence Back at a Branchpoint'']. Daedalus, Winter 1988.
	* Bell, A.J. ''Levels and loops: the future of artificial intelligence and neuroscience''. Phil Trans: Bio Sci. '''354''':2013--2020 (1999) [http://dx.doi.org/10.1098/rstb.1999.0540 here] or [http://www.cnl.salk.edu/~tony/ptrsl.pdf here]		* Bell, A.J. ''Levels and loops: the future of artificial intelligence and neuroscience''. Phil Trans: Bio Sci. '''354''':2013--2020 (1999) [http://dx.doi.org/10.1098/rstb.1999.0540 here] or [http://www.cnl.salk.edu/~tony/ptrsl.pdf here]

Bruno at 00:05, 9 December 2010

2010-12-09T00:05:18Z

← Older revision		Revision as of 23:57, 8 December 2010
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	* Meyer, & Smith, [http://redwood.berkeley.edu/vs265/meyer-smith-jn06.pdf Evidence from In Vivo Imaging That Synaptogenesis Guides the Growth and Branching of Axonal Arbors by Two Distinct Mechanisms], Journal of Neuroscience, 26, 3604-3614.		* Meyer, & Smith, [http://redwood.berkeley.edu/vs265/meyer-smith-jn06.pdf Evidence from In Vivo Imaging That Synaptogenesis Guides the Growth and Branching of Axonal Arbors by Two Distinct Mechanisms], Journal of Neuroscience, 26, 3604-3614.

			==== 9 Dec (Pentti Kanerva guest lecture) ====

			* Kanerva, P [http://www.amazon.com/Sparse-Distributed-Memory-Bradford-Books/dp/0262111322 Sparse Distributed Memory]

Bruno at 18:55, 7 December 2010

2010-12-07T18:55:00Z

← Older revision		Revision as of 18:47, 7 December 2010
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	* HKP Chapters 2 and 3		* HKP Chapters 2 and 3

	==== 19 Oct ====		==== 19 Oct (David Zipser guest lecture) ====

	* [http://redwood.berkeley.edu/vs265/zipser-manual.pdf manual] for David Zipser's BPTT simulator		* [http://redwood.berkeley.edu/vs265/zipser-manual.pdf manual] for David Zipser's BPTT simulator
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	* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-nn03.pdf Simple model of spiking neurons], IEEE Trans Neur Networks, 14(6):2003.		* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-nn03.pdf Simple model of spiking neurons], IEEE Trans Neur Networks, 14(6):2003.
	* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-which-nn04.pdf Which Model to Use for Cortical Spiking Neurons?], IEEE Trans Neur Networks, 15(5):2004.		* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-which-nn04.pdf Which Model to Use for Cortical Spiking Neurons?], IEEE Trans Neur Networks, 15(5):2004.

			==== 2 Dec (Jeff Hawkins guest lecture) ====

			* Numenta document on [http://redwood.berkeley.edu/vs265/HTM_CorticalLearningAlgorithms.pdf Hierarchical Temporal Memory]

			==== 7 Dec (Paul Rhodes guest lecture) ====

			* Niell, Meyer, & Smith, [http://redwood.berkeley.edu/vs265/niell-smith-nn04.pdf In vivo imaging of synapse formation on a growing dendritic arbor], Nature Neuroscience, 7, 254-260.

			* Meyer, & Smith, [http://redwood.berkeley.edu/vs265/meyer-smith-jn06.pdf Evidence from In Vivo Imaging That Synaptogenesis Guides the Growth and Branching of Axonal Arbors by Two Distinct Mechanisms], Journal of Neuroscience, 26, 3604-3614.

Bruno: /* 16 Nov */

2010-11-24T19:46:51Z

16 Nov

← Older revision		Revision as of 19:38, 24 November 2010
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	* Hyvarinen, Hoyer, Inki, [http://redwood.berkeley.edu/vs265/TICA.pdf Topographic Independent Component Analysis], Neural Comp, 2001.		* Hyvarinen, Hoyer, Inki, [http://redwood.berkeley.edu/vs265/TICA.pdf Topographic Independent Component Analysis], Neural Comp, 2001.
	* Karklin & Lewicki paper on [http://redwood.berkeley.edu/vs265/karklin-lewicki2003.pdf Learning Higher-Order Structure in Natural Images], Network 2003.		* Karklin & Lewicki paper on [http://redwood.berkeley.edu/vs265/karklin-lewicki2003.pdf Learning Higher-Order Structure in Natural Images], Network 2003.
	* Shao & Cottrell paper on [http://redwood.berkeley.edu/vs265/hshan-nips06.pdf Recursive ICA].		* Shao & Cottrell paper on [http://redwood.berkeley.edu/vs265/hshan-nips06.pdf Recursive ICA], NIPS 2006.

	==== 18 Nov ====		==== 18 Nov ====

Bruno: /* 16 Nov */

2010-11-24T19:40:07Z

16 Nov

← Older revision		Revision as of 19:32, 24 November 2010
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	* Bell and Sejnowski, [http://redwood.berkeley.edu/vs265/tony-ica.pdf An Information-Maximization Approach to Blind Separation and Blind Deconvolution], Neural Comp, 1995.		* Bell and Sejnowski, [http://redwood.berkeley.edu/vs265/tony-ica.pdf An Information-Maximization Approach to Blind Separation and Blind Deconvolution], Neural Comp, 1995.
	* Hyvarinen, Hoyer, Inki, [http://redwood.berkeley.edu/vs265/TICA.pdf Topographic Independent Component Analysis], Neural Comp, 2001.		* Hyvarinen, Hoyer, Inki, [http://redwood.berkeley.edu/vs265/TICA.pdf Topographic Independent Component Analysis], Neural Comp, 2001.
			* Karklin & Lewicki paper on [http://redwood.berkeley.edu/vs265/karklin-lewicki2003.pdf Learning Higher-Order Structure in Natural Images], Network 2003.
			* Shao & Cottrell paper on [http://redwood.berkeley.edu/vs265/hshan-nips06.pdf Recursive ICA].

	==== 18 Nov ====		==== 18 Nov ====

Bruno at 22:49, 23 November 2010

2010-11-23T22:49:36Z

← Older revision		Revision as of 22:41, 23 November 2010
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	* [http://vision.ucla.edu/~doretto/research.html Dynamic texture models]		* [http://vision.ucla.edu/~doretto/research.html Dynamic texture models]
	* Kevin Murphy's [http://redwood.berkeley.edu/vs265/murphy-hmm.pdf HMM tutorial]		* Kevin Murphy's [http://redwood.berkeley.edu/vs265/murphy-hmm.pdf HMM tutorial]

			==== 23 Nov ====

			* Chris Eliasmith, Charlie Anderson, [http://books.google.com/books?id=J6jz9s4kbfIC Neural Engineering: Computation, Representation, and Dynamics in Neurobiological Systems], MIT Press, 2004.

			Chapter 4 will be emailed to the class.

			* Softky and Koch, [http://redwood.berkeley.edu/vs265/softky-koch-jn93.pdf The Highly Irregular Firing of Cortical Cells Is Inconsistent with Temporal Integration of Random EPSPs], J Neuroscience, January 1993, 13(1):334-350.
			* Mainen and Sejnowski, [http://redwood.berkeley.edu/vs265/mainen-sejnowski.pdf Reliability of Spike Timing in Neocortical Neurons], Science, Vol 268, 6 June 1995.
			* Shadlen and Newsome, [http://redwood.berkeley.edu/vs265/shadlen-newsome1.pdf Noise, neural codes and cortical organization], Curr Opin in Neur, 1994, 4:569-579.
			* Shadlen and Newsom, [http://redwood.berkeley.edu/vs265/shadlen-newsome1.pdf Is there a signal in the noise?], Current Opin in Neur, 1995, 5:248-250.
			* Softky, [http://redwood.berkeley.edu/vs265/softky-commentary.pdf Simple codes versus efficient codes], Current Opin in Neuro, 1995, 5:239-247.
			* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-nn03.pdf Simple model of spiking neurons], IEEE Trans Neur Networks, 14(6):2003.
			* Izhikevich, [http://redwood.berkeley.edu/vs265/izhikevich-which-nn04.pdf Which Model to Use for Cortical Spiking Neurons?], IEEE Trans Neur Networks, 15(5):2004.

Bruno: /* 18 Nov */

2010-11-19T06:37:16Z

18 Nov

← Older revision		Revision as of 06:29, 19 November 2010
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	* Robbie Jacobs' [http://www.bcs.rochester.edu/people/robbie/jacobslab/cheat_sheet/sensoryIntegration.pdf notes on Kalman filter]		* Robbie Jacobs' [http://www.bcs.rochester.edu/people/robbie/jacobslab/cheat_sheet/sensoryIntegration.pdf notes on Kalman filter]
			* [http://redwood.berkeley.edu/vs265/kalman.m kalman.m] demo script
	* Greg Welch's [http://www.cs.unc.edu/~welch/kalman/kalmanIntro.html tutorial on Kalman filter]		* Greg Welch's [http://www.cs.unc.edu/~welch/kalman/kalmanIntro.html tutorial on Kalman filter]
	* [http://vision.ucla.edu/~doretto/research.html Dynamic texture models]		* [http://vision.ucla.edu/~doretto/research.html Dynamic texture models]
	* Kevin Murphy's [~~https~~://redwood.berkeley.edu/vs265/murphy-hmm.pdf HMM tutorial]		* Kevin Murphy's [http://redwood.berkeley.edu/vs265/murphy-hmm.pdf HMM tutorial]